Methodology for Managing Target Information Flows in the Remote Sensing Space System. Part 4. Network Orbital Groupings
- 作者: Starkov A.V.1, Morozov A.A.1
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隶属关系:
- Moscow Aviation Institute (National Research University)
- 期: 卷 26, 编号 3 (2025)
- 页面: 227-244
- 栏目: Articles
- URL: https://journal-vniispk.ru/2312-8143/article/view/350891
- DOI: https://doi.org/10.22363/2312-8143-2025-26-3-227-244
- EDN: https://elibrary.ru/VWVXUJ
- ID: 350891
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详细
This study is the next in a series devoted to systematically organizing mathematical models for managing target information flows in remote sensing space systems. It adapts the methodological approach proposed by the authors for a network of orbital satellites. A distinguishing feature of the problem formulation is the necessity to solve the problem in a complex object environment using promising inter-satellite channels of information interaction to increase the efficiency and quality of the target information. A generalized form of representation of the target information flow model of the remote sensing space system is proposed as an interconnected sequence of functions for altering the amount of information when applying the corresponding processing process (traffic change functions) to it. This study explores the general methodologies employed in addressing optimization problems related to observation planning and inter-satellite transmission of target information. Experimental testing of the solution to the problem of planning and relaying data to information reception points has been carried out. The potential for enhancing the information efficiency of remote sensing space systems through the implementation of inter-satellite data transmission facilities has been validated.
作者简介
Alexander Starkov
Moscow Aviation Institute (National Research University)
Email: starkov@goldstar.ru
ORCID iD: 0000-0002-2332-904X
SPIN 代码: 5242-3413
Doctor of Technical Sciences, Professor of the Department of System Analysis and Management
4 Volokolamskoe Shosse, Moscow, 125993, Russian FederationAlexander Morozov
Moscow Aviation Institute (National Research University)
编辑信件的主要联系方式.
Email: aamorozko@mail.ru
ORCID iD: 0000-0002-9325-3829
SPIN 代码: 1394-5795
Postgraduate student of the Department of System Analysis and Management
4 Volokolamskoe Shosse, Moscow, 125993, Russian Federation参考
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